№ files_lp_4_process_2_67188
Course outline of a postgraduate civil engineering course presenting curriculum content, learning outcomes, teaching activities, and assessment structure for statistical data analysis within the master’s program at the University of Patras.
Institution: University of Patras
School: School of Engineering
Academic Unit: Department of Civil Engineering
Postgraduate Program: Master’s Degree “Design of Resilient, Sustainable and Intelligent Infrastructures”
Program Tracks: Resilient Materials, Structures and Geotechnical Infrastructures; Hydraulic and Environmental Engineering for Sustainable Infrastructures; Intelligent Systems in Transportation and Construction Project Management
Level of Studies: Postgraduate Program
Course Title: Statistical Data Analysis
Semester: Spring (B’)
Weekly Teaching Hours: 3
Credits: 7.5 ECTS
Course Type: Specialised general knowledge, Skills development
Prerequisite Courses: None
Language of Instruction and Examinations: Greek
Availability to Erasmus Students: Yes
Course Website: https://eclass.upatras.gr/courses/CIV1764/
Teaching Format: Face-to-face lectures with laboratory use of statistical software (R, SPSS, Minitab)
Teaching Activities: Lectures, independent study, essay writing, examinations
Total Student Workload: 187.5 hours per semester
Assessment Method: Assignments and presentations (50%), written examinations (50%)
Key Topics: Randomness tests, outlier detection, goodness-of-fit tests, hypothesis testing, confidence intervals, regression models, generalized regression models, time series models, statistical process control
Recommended Literature: D.C. Montgomery and C.G. Runger; C. Caroni and P. Economou; J. Oakland and R. Oakland; C. Chatfield and H. Xing
Price: 8 / 10 USD
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